fix memory CB bugs

Signed-off-by: Xun Zhang <xunzh@amazon.com>

Author: Zhangxunmt

plugin/src/main/java/org/opensearch/ml/action/prediction/TransportPredictionTaskAction.java

@@ -25,6 +25,7 @@
 import org.opensearch.core.xcontent.ToXContent;
 import org.opensearch.ml.common.FunctionName;
 import org.opensearch.ml.common.MLModel;
+import org.opensearch.ml.common.exception.MLLimitExceededException;
 import org.opensearch.ml.common.exception.MLResourceNotFoundException;
 import org.opensearch.ml.common.input.MLInput;
 import org.opensearch.ml.common.transport.MLTaskResponse;
@@ -177,6 +178,8 @@ public void onResponse(MLModel mlModel) {
                                     );
                             } else if (e instanceof MLResourceNotFoundException) {
                                 wrappedListener.onFailure(new OpenSearchStatusException(e.getMessage(), RestStatus.NOT_FOUND));
+                            } else if (e instanceof MLLimitExceededException) {
+                                wrappedListener.onFailure(new OpenSearchStatusException(e.getMessage(), RestStatus.SERVICE_UNAVAILABLE));
                             } else {
                                 wrappedListener
                                     .onFailure(

plugin/src/main/java/org/opensearch/ml/breaker/MemoryCircuitBreaker.java

@@ -50,6 +50,6 @@ public Short getThreshold() {
 
     @Override
     public boolean isOpen() {
-        return jvmService.stats().getMem().getHeapUsedPercent() > this.getThreshold();
+        return getThreshold() < 100 && jvmService.stats().getMem().getHeapUsedPercent() > getThreshold();
     }
 }

plugin/src/main/java/org/opensearch/ml/task/MLPredictTaskRunner.java

@@ -143,7 +143,13 @@ public void dispatchTask(
                 if (clusterService.localNode().getId().equals(node.getId())) {
                     log.debug("Execute ML predict request {} locally on node {}", request.getRequestID(), node.getId());
                     request.setDispatchTask(false);
-                    executeTask(request, listener);
+                    run(
+                        // This is by design to NOT use mlPredictionTaskRequest.getMlInput().getAlgorithm() here
+                        functionName,
+                        request,
+                        transportService,
+                        listener
+                    );
                 } else {
                     log.debug("Execute ML predict request {} remotely on node {}", request.getRequestID(), node.getId());
                     request.setDispatchTask(false);

plugin/src/test/java/org/opensearch/ml/action/prediction/TransportPredictionTaskActionTests.java

@@ -43,6 +43,7 @@
 import org.opensearch.ml.common.dataframe.DataFrameBuilder;
 import org.opensearch.ml.common.dataset.DataFrameInputDataset;
 import org.opensearch.ml.common.dataset.remote.RemoteInferenceInputDataSet;
+import org.opensearch.ml.common.exception.MLLimitExceededException;
 import org.opensearch.ml.common.exception.MLResourceNotFoundException;
 import org.opensearch.ml.common.input.MLInput;
 import org.opensearch.ml.common.input.parameter.clustering.KMeansParams;
@@ -235,6 +236,28 @@ public void testPrediction_MLResourceNotFoundException() {
         assertEquals("Testing MLResourceNotFoundException", argumentCaptor.getValue().getMessage());
     }
 
+    public void testPrediction_MLLimitExceededException() {
+        when(modelCacheHelper.getModelInfo(anyString())).thenReturn(model);
+        when(model.getAlgorithm()).thenReturn(FunctionName.TEXT_EMBEDDING);
+
+        doAnswer(invocation -> {
+            ActionListener<Boolean> listener = invocation.getArgument(3);
+            listener.onFailure(new MLLimitExceededException("Memory Circuit Breaker is open, please check your resources!"));
+            return null;
+        }).when(modelAccessControlHelper).validateModelGroupAccess(any(), any(), any(), any());
+
+        doAnswer(invocation -> {
+            ((ActionListener<MLTaskResponse>) invocation.getArguments()[3]).onResponse(null);
+            return null;
+        }).when(mlPredictTaskRunner).run(any(), any(), any(), any());
+
+        transportPredictionTaskAction.doExecute(null, mlPredictionTaskRequest, actionListener);
+
+        ArgumentCaptor<Exception> argumentCaptor = ArgumentCaptor.forClass(OpenSearchStatusException.class);
+        verify(actionListener).onFailure(argumentCaptor.capture());
+        assertEquals("Memory Circuit Breaker is open, please check your resources!", argumentCaptor.getValue().getMessage());
+    }
+
     public void testValidateInputSchemaSuccess() {
         RemoteInferenceInputDataSet remoteInferenceInputDataSet = RemoteInferenceInputDataSet
             .builder()

plugin/src/test/java/org/opensearch/ml/breaker/MemoryCircuitBreakerTests.java

@@ -84,4 +84,22 @@ public void testIsOpen_UpdatedByClusterSettings_ExceedMemoryThreshold() {
         settingsService.applySettings(newSettingsBuilder.build());
         Assert.assertFalse(breaker.isOpen());
     }
+
+    @Test
+    public void testIsOpen_DisableMemoryCB() {
+        ClusterSettings settingsService = new ClusterSettings(Settings.EMPTY, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS);
+        settingsService.registerSetting(ML_COMMONS_JVM_HEAP_MEM_THRESHOLD);
+        when(clusterService.getClusterSettings()).thenReturn(settingsService);
+
+        CircuitBreaker breaker = new MemoryCircuitBreaker(Settings.builder().build(), clusterService, jvmService);
+
+        when(mem.getHeapUsedPercent()).thenReturn((short) 90);
+        Assert.assertTrue(breaker.isOpen());
+
+        when(mem.getHeapUsedPercent()).thenReturn((short) 100);
+        Settings.Builder newSettingsBuilder = Settings.builder();
+        newSettingsBuilder.put("plugins.ml_commons.jvm_heap_memory_threshold", 100);
+        settingsService.applySettings(newSettingsBuilder.build());
+        Assert.assertFalse(breaker.isOpen());
+    }
 }

plugin/src/test/java/org/opensearch/ml/model/MLModelCacheHelperTests.java

@@ -24,6 +24,7 @@
 import org.junit.rules.ExpectedException;
 import org.mockito.Mock;
 import org.mockito.MockitoAnnotations;
+import org.opensearch.cluster.service.ClusterApplierService;
 import org.opensearch.cluster.service.ClusterService;
 import org.opensearch.common.settings.ClusterSettings;
 import org.opensearch.common.settings.Settings;
@@ -64,13 +65,16 @@ public class MLModelCacheHelperTests extends OpenSearchTestCase {
     @Mock
     private TokenBucket rateLimiter;
 
+    @Mock
+    ClusterApplierService clusterApplierService;
+
     @Before
     public void setup() {
         MockitoAnnotations.openMocks(this);
         maxMonitoringRequests = 10;
         settings = Settings.builder().put(ML_COMMONS_MONITORING_REQUEST_COUNT.getKey(), maxMonitoringRequests).build();
         ClusterSettings clusterSettings = clusterSetting(settings, ML_COMMONS_MONITORING_REQUEST_COUNT);
-        clusterService = spy(new ClusterService(settings, clusterSettings, null));
+        clusterService = spy(new ClusterService(settings, clusterSettings, null, clusterApplierService));
 
         when(clusterService.getClusterSettings()).thenReturn(clusterSettings);
         cacheHelper = new MLModelCacheHelper(clusterService, settings);

plugin/src/test/java/org/opensearch/ml/model/MLModelManagerTests.java

@@ -76,6 +76,7 @@
 import org.opensearch.action.update.UpdateRequest;
 import org.opensearch.action.update.UpdateResponse;
 import org.opensearch.client.Client;
+import org.opensearch.cluster.service.ClusterApplierService;
 import org.opensearch.cluster.service.ClusterService;
 import org.opensearch.common.settings.ClusterSettings;
 import org.opensearch.common.settings.Settings;
@@ -177,7 +178,7 @@ public class MLModelManagerTests extends OpenSearchTestCase {
     private ScriptService scriptService;
 
     @Mock
-    private MLTask pretrainedMLTask;
+    ClusterApplierService clusterApplierService;
 
     @Before
     public void setup() throws URISyntaxException {
@@ -196,7 +197,7 @@ public void setup() throws URISyntaxException {
             ML_COMMONS_MONITORING_REQUEST_COUNT,
             ML_COMMONS_MAX_DEPLOY_MODEL_TASKS_PER_NODE
         );
-        clusterService = spy(new ClusterService(settings, clusterSettings, null));
+        clusterService = spy(new ClusterService(settings, clusterSettings, null, clusterApplierService));
         xContentRegistry = NamedXContentRegistry.EMPTY;
 
         modelName = "model_name1";

plugin/src/test/java/org/opensearch/ml/task/MLExecuteTaskRunnerTests.java

@@ -28,6 +28,7 @@
 import org.mockito.Mock;
 import org.mockito.MockitoAnnotations;
 import org.opensearch.client.Client;
+import org.opensearch.cluster.service.ClusterApplierService;
 import org.opensearch.cluster.service.ClusterService;
 import org.opensearch.common.settings.ClusterSettings;
 import org.opensearch.common.settings.Settings;
@@ -48,7 +49,6 @@
 import org.opensearch.ml.stats.suppliers.CounterSupplier;
 import org.opensearch.test.OpenSearchTestCase;
 import org.opensearch.threadpool.ThreadPool;
-import org.opensearch.transport.TransportService;
 
 public class MLExecuteTaskRunnerTests extends OpenSearchTestCase {
 
@@ -70,13 +70,12 @@ public class MLExecuteTaskRunnerTests extends OpenSearchTestCase {
     @Mock
     MLCircuitBreakerService mlCircuitBreakerService;
 
-    @Mock
-    TransportService transportService;
-
     @Mock
     ActionListener<MLExecuteTaskResponse> listener;
     @Mock
     DiscoveryNodeHelper nodeHelper;
+    @Mock
+    ClusterApplierService clusterApplierService;
 
     @Rule
     public ExpectedException exceptionRule = ExpectedException.none();
@@ -115,7 +114,7 @@ public void setup() {
             ML_COMMONS_MAX_DEPLOY_MODEL_TASKS_PER_NODE,
             ML_COMMONS_ENABLE_INHOUSE_PYTHON_MODEL
         );
-        clusterService = spy(new ClusterService(settings, clusterSettings, null));
+        clusterService = spy(new ClusterService(settings, clusterSettings, null, clusterApplierService));
         when(clusterService.getClusterSettings()).thenReturn(clusterSettings);
 
         Map<Enum, MLStat<?>> stats = new ConcurrentHashMap<>();